Bimodal voice recognition based computer input

In the last few decades, the computer keyboards input device has received much attention in the past and is believed by many to be a prime factor in the etiology of upper extremity musculoskeletal disorders. And wide rang of voice input systems are proposed to allow persons to operate a computer without using a keyboard or mouse.

This thesis reviewed both of acoustic–only and bimodal voice recognition system and compared their recognition accuracy in simulated noisy environments. Then, the voice recognition technique is adopted in keyboard design to fulfil keyboard ergonomic demands. Finally, the value analysis was performed to evaluate the redesigned voice input keyboards.

The experiment results demonstrate, compared to conventional acoustic only based speech recognition, bimodal speech recognition scheme has a much improved recognition accuracy and using the visual features allows the development of a more practical and real-time recognition system. Through the redesigned voice input keyboard, computer users can get their hand free completely and partly at their own will, by which they are away from the upper extremity musculoskeletal disorders risk and vocal strain.

Author: Yu, Wang

Source: Luleå University of Technology

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